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Identifying land suitable for agricultural land reform using GIS-MCDA in South Africa

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  • Walter Musakwa

    (University of Johannesburg)

Abstract

Land reform is identified as a key tool in fostering development in South Africa. Twenty years after the advent of democracy in South Africa, the land question remains a critical issue for policy makers. Several frameworks have been put in place by the government to identify land that is strategically located for land reform. However, many of these frameworks are not well aligned and not objective in defining strategically located land for land reform and often lead to unsustainable land use management practices. This has hampered the government’s land reform initiative in promoting agricultural land reform and food security. Accordingly, there is a need to develop a decision support tool that facilitates the identification of strategically located land for land reform. This study proposes the use of geographic information systems (GIS) and multi-criteria decision analysis (MCDA) to develop a strategically located land index (SLLI) to identify land suitable for agricultural land reform. Participatory workshops and the group analytical hierarchy process were utilised to identify and weigh criteria used in computing the SLLI. The results indicate that land that is suitable for agricultural land reform is scarce, and there are also competing needs on the highly suitable land for agriculture. The study demonstrates that GIS and MCDA are invaluable tools in facilitating evidence-based decision-making for land reform and sustainable land use management practices. The SLLI is not the panacea to land identification; there is also need to appreciate the contested nature of land in South Africa.

Suggested Citation

  • Walter Musakwa, 2018. "Identifying land suitable for agricultural land reform using GIS-MCDA in South Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 2281-2299, October.
  • Handle: RePEc:spr:endesu:v:20:y:2018:i:5:d:10.1007_s10668-017-9989-6
    DOI: 10.1007/s10668-017-9989-6
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    References listed on IDEAS

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    Cited by:

    1. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    2. Doctor S. Nkosi & Thembani Moyo & Innocent Musonda, 2022. "Unlocking Land for Urban Agriculture: Lessons from Marginalised Areas in Johannesburg, South Africa," Land, MDPI, vol. 11(10), pages 1-17, October.
    3. Chenying Li & Tiantian Zhang & Xi Wang & Zefeng Lian, 2022. "Site Selection of Urban Parks Based on Fuzzy-Analytic Hierarchy Process (F-AHP): A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(20), pages 1-27, October.
    4. Timuçin Everest, 2021. "Suitable site selection for pistachio (Pistacia vera) by using GIS and multi-criteria decision analyses (a case study in Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7686-7705, May.
    5. Hossein Azadi & Guy Robinson & Ali Akbar Barati & Imaneh Goli & Saghi Movahhed Moghaddam & Narges Siamian & Rando Värnik & Rong Tan & Kristina Janečková, 2023. "Smart Land Governance: Towards a Conceptual Framework," Land, MDPI, vol. 12(3), pages 1-20, March.
    6. Ali Akbar Barati & Hossein Azadi & Milad Dehghani Pour & Philippe Lebailly & Mostafa Qafori, 2019. "Determining Key Agricultural Strategic Factors Using AHP-MICMAC," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    7. Sisto, Roberta & Fernández-Portillo, Luis A. & Yazdani, Morteza & Estepa-Mohedano, Lorenzo & Torkayesh, Ali Ebadi, 2022. "Strategic planning of rural areas: Integrating participatory backcasting and multiple criteria decision analysis tools," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

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